00:01
Okay, so first about simple random samples, so versus stratified sampling.
00:07
So when we are doing a simple random sample, we have the entire population of interest, and then you simply randomly select.
00:15
There's no grouping that takes place beforehand.
00:19
There's nothing else like that.
00:21
You just randomly select however many individuals.
00:26
Now, this is different from a stratified sample where you have the, population and you split it into some characteristic, right? so maybe you do children, adults, and elderly or something.
00:43
And then you would take a simple random sample from each of those.
00:48
So number one would be false because they're describing a stratified sample, not a simple random sample.
00:53
For number two, sampling error.
00:57
So sampling error is something that always occurs because a sample is always a subset of the population, right? so that means it's not going to be exactly the same as the population...